Fuzzy Acceptance Sampling and Characteristic Curves. - Ebru Turanoglu; Ihsan Kaya; Cengiz Kahraman (Int. J. Comput. Intell. Syst., 2012)

Oil Consumption Forecasting in Turkey using Artificial Neural Network. - Ebru Turanoglu; Özlem Senvar; Cengiz Kahraman (Int. J. Energy Optim. Eng., 2012)

Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. - Cengiz Kahraman; Basar Öztaysi; Irem Uçal Sari; Ebru Turanoglu (Knowl. Based Syst., 2014)

An Anfis Algorithm for Forecasting Overall Equipment Effectiveness Parameter in Total Productive Maintenance. - Ebru Turanoglu Bekar; Mehmet Çakmakci; Cengiz Kahraman (J. Multiple Valued Log. Soft Comput., 2015)

ANFIS Modeling for Forecasting Oil Consumption of Turkey. - Özlem Senvar; Gözde Ulutagay; Ebru Turanoglu Bekar (J. Multiple Valued Log. Soft Comput., 2016)

A Fuzzy Design of Single and Double Acceptance Sampling Plans. - Cengiz Kahraman; Ebru Turanoglu Bekar; Özlem Senvar (Intelligent Decision Making in Quality Management, 2016)

Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company. - Ebru Turanoglu Bekar; Mehmet Çakmakci; Cengiz Kahraman (J. Multiple Valued Log. Soft Comput., 2017)

Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems. - Mélanie Déspeisse; Ebru Turanoglu Bekar (APMS (2), 2020)

A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing. - Harshad Kurrewar; Ebru Turanoglu Bekar; Anders Skoogh; Per Nyqvist (APMS (3), 2021)

Multi-Machine Gaussian Topic Modeling for Predictive Maintenance. - Alexander Karlsson; Ebru Turanoglu Bekar; Anders Skoogh (IEEE Access, 2021)

Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method. - Camilla Lundgren; Ebru Turanoglu Bekar; Maja Bärring; Johan Stahre; Anders Skoogh; Björn Johansson 004; Richard Hedman (Int. J. Comput. Integr. Manuf., 2022)

Battery Production Systems: State of the Art and Future Developments. - Mélanie Déspeisse; Björn Johansson 004; Jon Bokrantz; Greta Braun; Arpita Chari; Xiaoxia Chen; Qi Fang; Clarissa A. González Chávez; Anders Skoogh; Johan Stahre; Ninan Theradapuzha Mathew; Ebru Turanoglu Bekar; et al. (APMS (4), 2023)

Developing Data Models for Smart Environmental Performance Management in Production. - Mélanie Déspeisse; Qi Fang; Ebru Turanoglu Bekar; Nils Ólafur Egilsson; Karolina Kazmierczak; Lena Moestam; Helena Söderberg; Dennis Andersson; Jenny Hörnlund; Björn Molin (APMS (4), 2023)

Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance. - Siyuan Chen; Juan Pablo González Sánchez; Ebru Turanoglu Bekar; Jon Bokrantz; Anders Skoogh; Paulo Victor Lopes (WSC, 2023)

Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP. - Paulo Victor Lopes; Siyuan Chen; Juan Pablo González Sánchez; Ebru Turanoglu Bekar; Jon Bokrantz; Anders Skoogh (WSC, 2023)

Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System. - Sabino Francesco Roselli; Martin Dahl; Mukund Subramaniyan; Ebru Turanoglu Bekar; Anders Skoogh (APMS (5), 2024)

Comparison of unsupervised image anomaly detection models for sheet metal glue lines. - Siyuan Chen; Sunith Bandaru; Silvan Marti; Ebru Turanoglu Bekar; Anders Skoogh (Eng. Appl. Artif. Intell., 2025)